Collate Empirical Data on Current Customer Behaviours
Extract raw insights from recent customer discovery interviews, workflow observations, and industry benchmark reports. Aggregate primary research notes, sales loss analysis, and user telemetry that illuminate how prospects currently tackle the pain point. Synthesise these qualitative and quantitative inputs into a central, verified dataset ready for systematic evaluation.
Gathering empirical venture inputs grounds your competitive understanding in observed customer behaviour rather than secondary desk research. It equips the venture with verifiable evidence required to rigorously evaluate true switching feasibility.
A curated evidence pack containing tagged interview transcripts, observed workflow maps, and verified cost breakdowns of current tools. The output must clearly link each empirical data point to a verified customer segment or profile.
Five questions an expert would ask when reviewing your output
Use these to challenge assumptions, pressure-test your logic, and check the quality of this action's output in the context of the parent task and wider venture development.
- 1
What proportion of your gathered data comes from direct customer observation versus self-reported survey responses?
- 2
How have you filtered out user statements that express dissatisfaction but reveal zero active search effort for alternatives?
- 3
Where are the critical gaps in your primary data regarding incumbent contract lengths or renewal terms?
- 4
What contradictory behaviours emerged during customer interviews regarding their willingness to replace current hacks?
- 5
How fresh and statistically relevant is the pricing and operational data collected on incumbent solutions?